code: def test_merge_mul(self):
      b1 = BLayer.InputLayer(input_shape=(3, 5))
      b2 = BLayer.InputLayer(input_shape=(3, 5))
      blayer = BLayer.Merge(layers=[b1, b2], mode="mul")
      k1 = KLayer.InputLayer(input_shape=(3, 5))
      k2 = KLayer.InputLayer(input_shape=(3, 5))
      klayer = KLayer.Merge(layers=[k1, k2], mode="mul")
      input_data = [
          np.random.random([2, 3, 5]),
          np.random.random([2, 3, 5]),
      ]
      self.compare_newapi(klayer, blayer, input_data)
  
imports: import pytest
  from test.bigdl.test_utils import BigDLTestCase
  import bigdl.dllib.nn.keras.layers.layer
  import keras.layers
  import keras.backend
  from bigdl.dllib.keras.converter import WeightsConverter
  from bigdl.dllib.feature.dataset.dataset import *
  from bigdl.dllib.nn.keras.layers.topology import Model
  from bigdl.dllib.nn.keras.layers.topology import Sequential
  from keras.engine import merge, Model
  from keras.models import Sequential
label_desc: Use image node_id 4 for calling the TestKerasAPI obj's underlying member method code with example usage: obj.test_merge_mul() without return types